GLM-5.2 vs GPT-5.3-Codex
GLM-5.2 (2026) and GPT-5.3-Codex (2026) compare a standalone API model against a coding-specialized model. GLM-5.2 ships a 1m-token context window, while GPT-5.3-Codex ships a 400k-token context window. On SWE-bench Pro, GLM-5.2 leads by 5.3 pts. On pricing, GLM-5.2 costs $1.40/1M input tokens versus $1.75/1M for the alternative. This page treats the result as workflow and deployment fit, not a universal model winner.
Treat this as a product-type comparison: GLM-5.2 is standalone API model, while GPT-5.3-Codex is coding-specialized model. Choose based on workflow fit before reading any benchmark or price row as decisive.
Decision scorecard
Local evidence first| Signal | GLM-5.2 | GPT-5.3-Codex |
|---|---|---|
| Product type | Standalone API model | Coding-specialized model |
| Best for | reasoning-heavy apps, tool-calling agents, and long-context analysis | custom coding agents, code generation, and tool loops |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 1m | 400k |
| Cheapest output | $4.40/1M tokens | $14/1M tokens |
| Provider routes | 1 tracked | 3 tracked |
| Shared benchmarks | SWE-bench Pro leader | 1 shared |
Decision tradeoffs
- GLM-5.2 holds a shared-benchmark lead on SWE-bench Pro, ahead by 5.3 points.
- GLM-5.2 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GLM-5.2 has the lower cheapest tracked output price at $4.40/1M tokens.
- Local decision data tags GLM-5.2 for Coding, RAG, and Agents.
- GPT-5.3-Codex has broader tracked provider coverage for fallback and route flexibility.
- GPT-5.3-Codex uniquely exposes Vision and Computer use in local model data.
- Local decision data tags GPT-5.3-Codex for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
GLM-5.2
$2,220
Cheapest tracked route/tier: OpenRouter
GPT-5.3-Codex
$4,900
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $2,680. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- GPT-5.3-Codex is $9.60/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- GPT-5.3-Codex adds Vision and Computer use in local capability data.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- GLM-5.2 is $9.60/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision and Computer use before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-06-13 | 2026-02-05 |
| Context window | 1m | 400k |
| Parameters | 753B total, 40B active | — |
| Architecture | Mixture of Experts | Decoder Only |
| License | MITOSI-approved | Proprietary |
| Openness | Open source | Proprietary |
| Weights | Available | Not released |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: permitted | Commercial use: conditional |
| Knowledge cutoff | - | 2025-08 |
Pricing and availability
| Pricing attribute | GLM-5.2 | GPT-5.3-Codex |
|---|---|---|
| Input price | $1.40/1M tokens | $1.75/1M tokens |
| Output price | $4.40/1M tokens | $14/1M tokens |
| Providers |
Capabilities
| Capability | GLM-5.2 | GPT-5.3-Codex |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | No |
| Reasoning | Yes | Yes |
| JSON / Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | Yes |
| IDE integration | No | No |
| Computer use | No | Yes |
| Parallel agents | No | No |
Benchmarks
| Benchmark | GLM-5.2 | GPT-5.3-Codex |
|---|---|---|
| SWE-bench Pro | 62.1 | 56.8 |
Continue comparing
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Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.